Systems Safety Engineer

About Overland AI

Founded in 2022 and headquartered in Seattle, Washington, Overland AI is transforming land operations for modern defense. The company leverages over a decade of advanced research in robotics and machine learning, as well as a field-test forward ethos, to deliver combined capabilities for unit commanders. Our OverDrive autonomy stack enables ground vehicles to navigate and operate off-road in any terrain without GPS or direct operator control. Our intuitive OverWatch C2 interface provides commanders with precise coordination capabilities essential for mission success.

Overland AI has secured funding from prominent defense tech investors including 8VC and Point 72, and built trusted partnerships with DARPA, the U.S. Army, Marine Corps, and Special Operations Command. Backed by eight-figure contracts across the Department of Defense, we are strengthening national security by iterating closely with end users engaged in tactical operations.

Role Summary

Overland AI is hiring Systems Safety Engineers to lead system safety engineering across our autonomous vehicles and programs. These roles sit within the Systems Engineering, Integration, and Test (SEIT) organization and partner closely with systems engineers, designers, and test teams to ensure safety is fully integrated into requirements, architecture, design, integration, and verification activities.

As a Systems Safety Engineer, you will develop and execute system safety programs across the full lifecycle—from concept and requirements definition through architecture, integration, testing, and field operations. You will produce and maintain standard safety artifacts aligned with DoD and industry expectations, including MIL-STD-882E–based analyses, UL 4600, ATEC safety releases, and hazard tracking, while working cross-functionally with hardware, software, test, and operations teams.

Safety Engineers collaborate closely with those building the system while maintaining independence in safety assessment. You will objectively evaluate hazards, risk controls, verification evidence, and operational suitability to support rigorous, defensible, and auditable safety determinations. This role emphasizes collaboration and alignment: safety analyses are developed alongside evolving system designs and remain tightly connected to system requirements, baselines, test plans, and operational concepts.

As Overland AI scales and pursues multiple safety-certified deployments in parallel, these roles are critical to sustaining disciplined engineering execution and credible safety approvals.